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BioMart- Data miningBioMart- Data mining
• BioMart is a search engine that can find multiple terms and put them into a table format.
• Such as: human gene (IDs), chromosome and base pair position
• No programming required!
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General or Specific Data-TablesGeneral or Specific Data-Tables
• All the genes for one species
• Or… only genes on one specific region of a chromosome
• Or… genes on one region of a chromosome associated with a disease
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BioMart Data SetsBioMart Data Sets
• Ensembl genes• Vega genes• SNPs
• Markers• Phenotypes• Gene expression information• Gene ontology• Homology predictions• Protein annotation
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Web InterfaceWeb Interface
With BioMart, quickly extract gene-associated information from the Ensembl databases.
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Information FlowInformation Flow
• Choose the species of interest (Dataset)
• Decide what you would like to know about the genes (Attributes)(sequences, IDs, description…)
• Decide on a smaller geneset using Filters.(enter IDs, choose a region …)
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Web InterfaceWeb Interface
Three main stages: Dataset, Attributes and Filters.
Choose the species of
interest
Choose what information
to view.
Choose the gene set using what we know.
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The First Step: Choose the DatasetThe First Step: Choose the Dataset
Homo sapiensgenes are the
default.
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The Second Step: AttributesThe Second Step: Attributes
Attributes are what we want to know about the genes.
Four output pages.
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TheThe SNP Attribute PageSNP Attribute Page
Output variation information such as SNP reference ID and alleles.
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Filters Allow Gene SelectionFilters Allow Gene Selection
Choose the gene set by region, gene ID(s), protein/domain type.
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Export Sequence or TablesExport Sequence or Tables
Genes and attributes are exported as sequence (Fasta format) or tables.
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Query:Query:
• For all mouse genes on chromosome 10 that are protein coding, I would like to know the IDs in both Ensembl and MGI.
• In the query:
Attributes: what we want to know.
Filters: what we know
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Query:Query:
• For all mouse genes on chromosome 10 that are protein coding, I would like to know the IDs in both Ensembl and MGI.
• In the query:
Attributes: what we want to know.
Filters: what we know
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Query:Query:
• For all mouse genes on chromosome 10 that are protein coding, I would like to know the IDs in both Ensembl and MGI.
• In the query:
Attributes: what we want to know.
Filters: what we know
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Attributes (Output Options)Attributes (Output Options)
ClickAttributes.
Attributes allow us to choose what we wish to know.
IDs are found in the ‘Features’ page.
Click on ‘GENE’.
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Default options selected:Ensembl Gene ID and Transcript ID
Attributes (Output Options)Attributes (Output Options)
Ensembl Gene ID is selected
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Scroll down to select MGI symbol.Also select the accession number.
Attributes (Output Options)Attributes (Output Options)
‘Markersymbol ID’ will give us the MGI ID
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‘Results’ give us Gene IDs for all mouse genes in the Ensembl database.
The Results TableThe Results Table
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Select a Smaller Gene SetSelect a Smaller Gene Set
Select ‘Filters’
Expand the REGION panel
Instead of all mouse genes, select protein coding genes on chromosome 10.
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Select Genes on Chromosome 10Select Genes on Chromosome 10
Select chromosome
10
Instead of all mouse genes, select protein coding genes on chromosome 10.
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Select Protein Coding GenesSelect Protein Coding Genes
Filters are set to chromosome 10 and protein-coding genes. Genes must meet BOTH
criteria to be in the result table.
Gene type:protein coding
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Results (Preview)Results (Preview)
This is a preview- if you are happy with the table, click ‘Go’.
For the full result table: Go
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Full Result TableFull Result Table
Ensembl Gene IDTranscript
IDMGI
symbolMGI Accession
Number
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Original Query:Original Query:
• For all mouse genes on chromosome 10 that are protein coding, I would like to know the IDs in both Ensembl and MGI.
• In the query:
Attributes: columns in the Result Table
Filters: what we know
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Other Export Options (Attributes)Other Export Options (Attributes)
• Sequences: UTRs, flanking sequences, cDNA and peptides, etc
• Gene IDs from Ensembl and external sources (MGI, Entrez, etc.)
• Microarray data
• Protein Functions/descriptions (Interpro, GO)
• Orthologous gene sets
• SNP/ Variation Data
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How to Get ThereHow to Get There
• Either www.biomart.org/biomart/martview
• Or click on ‘BioMart’ from Ensembl